Abstract
We introduce a technique to compute new summary information estimations (information and entropy) for fuzzy sets. Special features for these estimations are investigated. We give an algorithm for determine various information measures for fuzzy sets and fuzzy decision trees. Finally, we are using our estimations for induction of fuzzy decision trees from a group of training examples.
Cite
CITATION STYLE
Levashenko, V. G., & Zaitseva, E. N. (2002). Usage of new information estimations for induction of fuzzy decision trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2412, pp. 493–499). Springer Verlag. https://doi.org/10.1007/3-540-45675-9_74
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